Sr. Solution Architect

We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a global technology company serving millions of customers in 180 markets with a broad portfolio across AI-enabled devices, infrastructure, software, and services. Join us at the forefront of AI innovation as a Senior Solution Architect to help lead the charge in GPU-powered, datacenter-scale infrastructure.

In this high-impact role, you will architect next-generation AI platforms that power cutting-edge machine learning and deep learning workloads across a rapidly growing Cloud Service Provider ecosystem. You will shape how compute, networking, and storage converge at scale, directly influencing product direction, engineering strategy, and customer success.

• Architect end-to-end AI infrastructure solutions at the rack and datacenter level, integrating GPU compute, high-performance networking, and scalable storage
• Define and implement deployment frameworks, tooling, and methodologies for AI cluster bring-up, performance optimization, and lifecycle management
• Drive innovation across hardware and software to enhance performance, scalability, manageability, and reliability of AI platforms
• Partner cross-functionally with engineering, product, and customers to deliver world-class, production-ready AI solutions
• Influence solution strategy through hands-on design, benchmarking, and real-world customer engagement

• BS/MS in Computer Science, Computer Engineering, Electrical Engineering, or a related field
• 8+ years building and scaling datacenter systems (server, networking, storage, or performance engineering)
• Strong programming skills (Python, C/C++, Go, or similar) and systems-level thinking
• Working knowledge of machine learning / deep learning concepts and modern frameworks (e.g., PyTorch, Lang Chain, Autogen)
• Proven ability to operate in fast-paced, ambiguous environments and deliver impactful solutions

• PhD in Computer Science, Engineering, or related discipline
• Experience designing and deploying AI infrastructure in production environments
• Deep understanding of the AI hardware/software stack (GPUs, CPUs, networking, ML runtimes and libraries)
• Track record of innovation, research, or publications in relevant domains
• Strong communication and leadership skills with the ability to influence across teams

• Build at scale:
  Design infrastructure powering next-gen AI workloads
• Own impact:
  Directly influence product direction and customer outcomes
• Innovate daily:
  Work on complex challenges at the intersection of hardware, software, and AI
• Grow fast:
  Be part of a team shaping the future of AI infrastructure

We are an Equal Opportunity Employer and do not discriminatorily treat any applicant or employee on the basis of race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, disability, or any federal, state, or local protected class.